GoogleVoice

Gemini 3.5 Transcribe

gemini-3.5-transcribe

Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.

Context: 98.3K tokens
Endpoint

Pricing

Input—

Output—

Cache Write (5m)Not applicable

Cache Write (1h)Not applicable

Cache ReadNot applicable

Web Search$0 / 1M

Customer audio pricing

USD

Base rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.

/v1/audio/transcriptionsSpeech to text

Rate	USD per unit
InputAudio	$0.000002 USD per token
OutputText	$0.000012 USD per token

Cached input tokens are charged at the full configured customer input rate.

Actual settled usage is deducted from your Apertis credit quota.

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="gemini-3.5-transcribe",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="gemini-3.5-transcribe",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common5 params

modelfilelanguagepromptresponse_format

Extended2 params

temperaturetimestamp_granularities

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

gemini-3.5-transcribe

Questions about Gemini 3.5 Transcribe

What is Gemini 3.5 Transcribe's context window?

Gemini 3.5 Transcribe has a context window of 98.3K tokens.

Which company develops Gemini 3.5 Transcribe?

Gemini 3.5 Transcribe is developed by Google.

Which model ID do I use to call Gemini 3.5 Transcribe?

Use the model ID gemini-3.5-transcribe to call Gemini 3.5 Transcribe.

Compare with Other Models

See how this model compares to others from the same provider.

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Gemini 3.1 Flash Image (Google Vertex AI)

Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.

Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)